Full Stack Software Engineer

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways.

Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.

Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs both on-prem and cloud native. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.

• 5+ years' experience in Software Engineering.
• Bachelor’s degree in computer science, computer engineering or a combination of education and equivalent experience.
• 3+ years' experience with developing for and deploying to cloud platforms (e.g. GCP, PCF, Azure)
• Implement and optimize cloud services and tools (e.g. Terraform, Big Query, GCP)
• Build and maintain the foundational systems that power scalable, reliable, high-performance environments while also developing the intelligence layer that transforms data into actionable insights through machine learning. Develop internal frameworks, APIs, and developer tools using:
• Core Software Engineering:
• Languages & Methodologies: Java, Python, SQL (or similar major programming languages), and Test-Driven Development (TDD).
• Application Development: REST-style microservices (Spring Boot, Cloud Run) and JavaScript-based UI frameworks (Angular, React, or Vue).
• Cloud & Infrastructure:
• GCP Architecture: Google Cloud Platform services including Cloud Run, Google Cloud Storage (GCS), Kubernetes Engine (GKE), Cloud SQL, Cloud IAM, and Big Query.
• Infrastructure & Operations: Infrastructure as Code (IaC), Terraform.
• Dev Ops, Reliability & Security:
• CI/CD & Containers: Jenkins, Tekton, Git Hub Actions, Git/Git Hub, Docker, Podman, Cloud Build and Deploy, and Artifact Registry.
• Monitoring: Splunk, Dynatrace, Grafana, Apigee, and Cloud Logging.
• Dev Sec Ops : Sonar Qube, Fossa, Cycode, and Checkmarx.
• Data Engineering & Machine Learning (MLOps):
• Data Processing & Databases: Big Data, PySpark, MS SQL Server, PostgreSQL, and MySQL.
• ML Training: Google Vertex AI (Studio, Training, Model Registry), XGBoost, and Cat Boost.
• Pipelines & Workflows: Oozie workflows, Apache Airflow, and Astronomer.
• Production Integration: Vertex AI Endpoints, Batch Inference, and Astronomer.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a change maker, a technical expert, a culture builder…or all of the above?

No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense…